Owing to its unique, concealment and easy customization by combining different wrist and hand gestures, high-density surface electromyogram (HD-sEMG) is recognized as a potential solution to the next generation biometric authentication, which usually adopts a wireless body sensor network (BSN) to acquire the multi-channel HD-sEMG biosignals from distributed electrode arrays. For more accurate and reliable classification, biometric authentication requires the distributed biosignals to be sampled simultaneously and be well aligned, which means that the sampling jitters among the arrays need to be tiny. To synchronize data sampling clocks of a cluster of BSN nodes for biometric authentication, this article modifies the packet-coupled oscillators protocol by using a dynamic controller (D-PkCOs). This protocol only involves one-way single packet exchange, which reduces the communication overhead significantly. For the purpose of maintaining precise sampling of these BSN nodes subject to drifting clock frequency and varying delays, the dynamic controller is designed via the H∞H_\infty robust method, and it is proved that all the BSN nodes’ sampling jitters are bounded. The experimental results demonstrate that the D-PkCOs protocol can keep the sampling jitters less than a microsecond in a 10-node IEEE 802.15.4 network. The application of D-PkCOs to the BSN shows that the HD-sEMG signal with a high signal-to-noise ratio is obtained, which leads to better gesture classification performance.

中文翻译：

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用于生物特征认证的稳健同步数据采集


高密度表面肌电图（HD-sEMG）因其独特、隐蔽性以及通过结合不同手腕和手势而易于定制的特点，被认为是下一代生物特征认证的潜在解决方案，通常采用无线身体传感器网络（BSN） ）从分布式电极阵列获取多通道 HD-sEMG 生物信号。为了实现更准确、更可靠的分类，生物特征认证要求分布式生物信号同时采样并良好对齐，这意味着阵列之间的采样抖动需要很小。为了同步 BSN 节点集群的数据采样时钟以进行生物特征认证，本文使用动态控制器 (D-PkCO) 修改了数据包耦合振荡器协议。该协议仅涉及单向单数据包交换，从而显着减少了通信开销。为了在时钟频率漂移和延迟变化的情况下保持这些BSN节点的精确采样，通过H∞H_\infty鲁棒方法设计了动态控制器，并证明了所有BSN节点的采样抖动都是有界的。实验结果表明，D-PkCOs协议可以在10节点IEEE 802.15.4网络中将采样抖动保持在1微秒以内。 D-PkCOs在BSN中的应用表明，获得了具有高信噪比的HD-sEMG信号，从而带来了更好的手势分类性能。